Senior DWH Engineer Job at Algoteque (Prague)

Senior Data Engineer

We are looking for a highly skilled Senior Data Engineer to lead the design and ...

Location

United Kingdom

Salary:

45000.00 - 60000.00 GBP / Year

Activate Group Limited

Expiration Date

Until further notice

Requirements

Proven experience as a Senior Data Engineer, BI/Data Warehouse Engineer, or similar
Strong hands-on expertise with Microsoft Fabric and related services
End-to-end DWH development experience, from ingestion to modelling and consumption
Strong background in data modelling, including star schema, dimensional modelling and semantic modelling
Experience with orchestration, monitoring and optimisation of data pipelines
Proficiency in SQL and strong understanding of database principles
Ability to design scalable data architectures aligned to business needs

Job Responsibility

Lead the design, architecture and build of a new enterprise data warehouse on Microsoft Fabric
Develop robust data pipelines, orchestration processes and monitoring frameworks using Fabric components (Data Factory, Data Engineering, Lakehouse)
Create scalable and high-quality data models to support analytics, Power BI reporting and self-service data consumption
Establish and enforce data governance, documentation and best practices across the data ecosystem
Collaborate with cross-functional teams to understand data needs and translate them into technical solutions
Provide technical leadership, mentoring and guidance to junior team members where required

What we offer

33 days holiday (including bank holidays)
Personal health cash plan – claim back the cost of things like dentist and optical check ups
Enhanced maternity / paternity / adoption / shared parental pay
Life assurance: three times basic salary
Free breakfasts and fruit
Birthday surprise for everybody

Fulltime

Senior Databricks Data Engineer

To develop, implement, and optimize complex Data Warehouse (DWH) and Data Lakeho...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven, expert-level experience with the entire Databricks ecosystem (Workspace, Cluster Management, Notebooks, Databricks SQL)
In-depth knowledge of Spark architecture (RDD, DataFrames, Spark SQL) and advanced optimization techniques
Expertise in implementing and managing Delta Lake (ACID properties, Time Travel, Merge, Optimize, Vacuum)
Advanced/expert-level proficiency in Python (with PySpark) and/or Scala (with Spark)
Advanced/expert-level skills in SQL and Data Modeling (Dimensional, 3NF, Data Vault)
Solid experience with a major Cloud platform (AWS, Azure, or GCP), especially with storage services (S3, ADLS Gen2, GCS) and networking.

Job Responsibility

Design and implement robust, scalable, and high-performance ETL/ELT data pipelines using PySpark/Scala and Databricks SQL on the Databricks platform
Expertise in implementing and optimizing the Medallion architecture (Bronze, Silver, Gold) using Delta Lake to ensure data quality, consistency, and historical tracking
Efficient implementation of the Lakehouse architecture on Databricks, combining best practices from DWH and Data Lake
Optimize Databricks clusters, Spark operations, and Delta tables to reduce latency and computational costs
Design and implement real-time/near-real-time data processing solutions using Spark Structured Streaming and Delta Live Tables
Implement and manage Unity Catalog for centralized data governance, data security and data lineage
Define and implement data quality standards and rules to maintain data integrity
Develop and manage complex workflows using Databricks Workflows or external tools to automate pipelines
Integrate Databricks pipelines into CI/CD processes
Work closely with Data Scientists, Analysts, and Architects to understand business requirements and deliver optimal technical solutions

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings.

Fulltime

Senior Data / Data Warehouse (DWH) Engineer

We are looking for a Senior Data / Data Warehouse Engineer to design and deliver...

Location

Czechia , Prague

Salary:

70000.00 - 80000.00 CZK / Year

Algoteque

Expiration Date

Until further notice

Requirements

Strong experience in data engineering and data warehouse development
Hands-on experience with ETL/ELT pipeline design and implementation
Proficiency in SQL and experience with PL/pgSQL stored procedures
Experience with DBT for data modeling and transformation
Experience building APIs or data access layers using FastAPI
Strong understanding of data modeling concepts for OLTP and OLAP systems
Experience implementing data quality checks, validation, and reconciliation processes
Familiarity with Agile methodologies and tools such as Jira
Strong communication skills and ability to collaborate with cross-functional and distributed teams

Job Responsibility

Own end-to-end data engineering and DWH delivery, from requirements and design to development, validation, and deployment
Design and maintain data models, data marts, and table structures for OLTP and OLAP reporting
Develop and maintain ETL/ELT pipelines and DBT-based transformation layers
Build automated data pipelines and FastAPI-based data access layers for application integration
Implement data validation, reconciliation, and quality checks using SQL
Optimize and maintain PL/pgSQL stored procedures for data processing
Collaborate with cross-functional and distributed teams to ensure timely and high-quality delivery
Work in an Agile environment using Jira and support demos or user training when needed

Fulltime

Senior Data Engineer

We are looking for experienced engineers that are willing to solve complex techn...

Location

Salary:

Not provided

Itransition

Expiration Date

Until further notice

Requirements

5+ years of Date Engineer experience
Understanding of the DWH and ETL development principles and methodologies
Experience with Cloud DWH solutions
Hands-on experience with Snowflake
Understanding of the analytical and transactional processing
Advanced experience with RDBMS (MSSQL preferred) or NoSQL databases
Advanced in SQL querying (T-SQL preferred)
Experience with at least one VCS (Git, SVN, etc.)
English skills sufficient for spoken communication (Intermediate level and above)

What we offer

Projects for such clients as PayPal, Wargaming, Xerox, Philips, adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Corporate medical insurance covering services of private and public medical centers
English courses online
Corporate parties and events for employees and their children
Internal conferences, workshops and meetups for learning and experience sharing
Gym membership compensation, corporate sport competitions (cybersport included)

Senior Data Engineer (DWH)

Are you a motivated Data Engineer (DWH), willing to grow as a professional and w...

Location

Bitola, Burgas, Plovdiv, Skopje, Sofia, Varna

Salary:

Not provided

Scalefocus

Expiration Date

Until further notice

Requirements

Experience in designing scalable data warehousing solutions
Experience in designing and implementing efficient ETL processes and data pipelines
Experience and knowledge in data migration techniques and processes
Proven ability to collaborate with technical and business teams and communicate effectively across channels
Excellent knowledge and experience in SQL - developing stored procedures with T-SQL, database performance optimisation and working with large datasets
Understanding of the database and analytics technologies in the industry, including Relational databases
Data integration from multiple sources - batch data processing, streaming, integrations of APIs
Deep understanding of data warehousing and data architecture concepts
Experience with version control systems (i.e. GitHub)

What we offer

Flexible benefits system
Generous referral bonuses and awards
Multitude of training, certification, and leadership programs
Mental health benefits and workshops
Frequent teambuilding activities, events and gatherings
Opportunity to grow in a multinational environment by working with international teams and clients

Fulltime

Tech Lead

We are expanding our technology team and seeking an experienced Tech Lead to dri...

Location

Australia , Melbourne

Salary:

Not provided

Two Circles

Expiration Date

Until further notice

Requirements

A minimum of 8+ years' experience in a senior engineering role, ideally with some experience working in an agency/consulting context
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams, and directly with clients
Proven experience as a Tech Lead or Senior Engineer leading delivery of complex web, mobile, or cloud-based applications
Strong technical capability in modern engineering stacks (primarily Node.js, dotnet, React, Next.js, cloud platforms such as AWS or Azure)
Experience with infrastructure management tooling and automation (IaC)
Strong experience with CICD and automation processes, including automated testing pipelines, zero down time deployments and defining/adapting CICD pipelines (GitHub actions, etc.)
Experience utilising and integrating with common digital technology used in sport such as CMS, CRM, Identity providers, Video streaming, DWH & middleware solutions
Competent in utilising documentation and diagramming tools such as JIRA, Confluence and Lucidchart / Visio
Have experience in various testing and quality approaches, including performance, security and accessibility testing
A passion for engineering and technology, strong problem-solving skills with a flair for finding innovative solutions

Job Responsibility

Hands on development responsibilities with clear leadership and accountability of the end-to-end engineering delivery of projects, ensuring high-quality, maintainable, and scalable solutions
Close collaboration with our technology leadership roles to ensure decision making remains aligned with architectural governance, security requirements, and other guidelines
Own the technical quality of the solution within the build phase, providing technical direction, decision-making, and problem-solving
Translate solution architecture designs and high-level requirements into actionable, pragmatic engineering tasks and implementation approaches
Provide detailed engineering estimates and assist in backlog refinement, sprint planning, and sequencing of technical work
Work closely with engineers to unblock issues, review code, and ensure adherence to standards and best practices
Mentor engineers across the team, fostering growth in technical skills, engineering quality, and delivery practices
Act as a key technical contact point for client stakeholders, third-party vendors, and internal teams
Work with Mobile Practice Leads (iOS/Android), Data teams, Cloud teams, or other SMEs as required to ensure quality outcomes
Ensure solutions follow security guidelines and contribute to threat modelling and secure-by-design practices

Fulltime

Senior Data Engineer

As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable ...

Location

Bulgaria , Sofia; Varna

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
6+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
Strong Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies
Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
Experience building reliable incremental data ingestion pipelines from DBs and APIs
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Job Responsibility

Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
Develop and evolve scalable data architecture to meet business and performance requirements
Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
Implement best practices for data quality, testing, monitoring, lineage, and reliability
Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

What we offer

Vibrant international team operating in hi-tech environment
Annual salary reviews, promotions and performance bonuses
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Annual individual training and development budget
Refer a friend bonus
Teambuilding, social activities and networks on a multi-national level
Excellent compensation package
25 days annual paid leave (+1 day per year up to 30)
Full “Luxury” package health insurance including dental care and optical glasses

Fulltime

Senior Data Engineer (Contractor)

As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable ...

Location

Poland , Warsaw

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
6+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
Strong Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies
Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
Experience building reliable incremental data ingestion pipelines from DBs and APIs.
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Job Responsibility

Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
Develop and evolve scalable data architecture to meet business and performance requirements
Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
Implement best practices for data quality, testing, monitoring, lineage, and reliability
Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

What we offer

Vibrant international team operating in hi-tech environment
Excellent compensation package
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Refer a friend bonus as we know that working with friends is fun
Teambuilding, social activities and networks on a multi-national level

Fulltime

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Senior DWH Engineer

Job Description

Job Responsibility

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